| period_start_time | period_end_time | |
|---|---|---|
| Week 1 | 2021-08-07 | 2021-08-20 |
| Week 3 | 2021-08-21 | 2021-09-03 |
| Week 5 | 2021-09-04 | 2021-09-17 |
| Week 7 | 2021-09-18 | 2021-10-01 |
| Week 9 | 2021-10-02 | 2021-10-15 |
| Week 11 | 2021-10-16 | 2021-10-28 |
| Week 13 | 2021-10-31 | 2021-11-12 |
| Week 15 | 2021-11-14 | 2021-11-26 |
| Week 17 | 2021-11-27 | 2021-12-10 |
| Week 19 | 2021-12-11 | 2021-12-23 |
| Week 21 | 2021-12-25 | 2022-01-06 |
| Week 23 | 2022-01-09 | 2022-01-21 |
| Week 25 | 2022-01-23 | 2022-02-03 |
| Week 27 | 2022-02-06 | 2022-02-18 |
| Week 29 | 2022-02-19 | 2022-03-04 |
| Week 31 | 2022-03-06 | 2022-03-18 |
| Week 33 | 2022-03-19 | 2022-04-02 |
| Week 35 | 2022-04-02 | 2022-04-16 |
| Week 37 | 2022-04-17 | 2022-04-30 |
| Week 39 | 2022-04-30 | 2022-05-14 |
The trend of total number of praises across time.
Counting the unique ID of praise giver and receivers then see the change across time. In the figure, blue line represents the amount of praise receivers and red line for givers。
Counting how many quantifiers are involved in each round.
Counting the round-by-round change of unique IDs being either praise giver or praise receiver.
/home/dev/Documents/venv/rad-venv/lib/python3.9/site-packages/pandas/core/indexing.py:1732: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
The blue line represents new IDs in this round, red line represents IDs that are absent in this round but was present in the last round. Green line is the net difference, with above 0 meaning more people joined to praise and below 0 means less.
The Nakamato Coefficient is defined as the smallest number of accounts who control at least 50% of the resource. Although its significance relates to the prospect of a 51% attack on a network, which may not be relevant in our context, we can still use it as an intuitive measure of how many individuals received the majority of a resource.
Bigger coefficient means more equal (i.e. needs more people to pass 50%), smaller means more concentrated power. The number should always be an integer
TODO: measure how well quantifiers agree with each other. metrics like ratio of agreement on duplication and dismissal. overall average spread. etc.